Spss worksheet 4: (ancova) | Psychology homework help

 

 

 

SPSS Worksheet 4: (ANCOVA)

 

 

 

Instructions:Lesson 27 Exercise File 2 is located at the end of the chapter under the heading Exercises in your Green and Salkind textbook. Complete the exercise and then complete the worksheet below by filling in the blanks and answering the questions.

 

 

 

H01: There is no significant difference among the depression scores of students who receive Journal and Counseling therapy, Journal therapy only, or Counseling therapy only, while controlling for pre-test depression scores.

 

Assumptions

 

Outliers: Create a Box and Whisker plot for each group.

 

 

 

Insert Graph or Table Here

 

 

 

Fill in the blanks:

 

Group (Pre-Test):

Outliers (Item #)

Are there any outliers?

Journal and Counseling

 

 

 

Journal only

 

 

 

Counseling only

 

 

 

 

 

 

Group (Post-Test):

Outliers (Item #)

Are there any outliers?

Journal and Counseling

 

 

 

Journal only

 

 

 

Counseling only

 

 

 

 

 

 

 

 

 

 

 

 

 

 

< Note: Remove any outliers from the dataset before continuing.>

 

 

 

 

 

 

 

Assumption of Normality: Run a normality test for each group. Insert Tests of Normality table below:

 

 

 

Insert Graph or Table Here

 

Fill in the blanks:

 

Should you use a Shapiro-Wilks or Kolmogorov-Smirnov test? Why?

 

 

 

 

 

 

Groups (Pre-Test)

Significance

Is the assumption of normality met?

Journal and Counseling

 

 

 

Journal only

 

 

 

Counseling only

 

 

 

 

 

 

Groups (Post-Test)

Significance

Is the assumption of normality met?

Journal and Counseling

 

 

 

Journal only

 

 

 

Counseling only

 

 

 

 

 

 

Assumption of Linearity: Hint: Run a series of scatter plots between the pre-test variable and post-test variable for each group. Begin by going to Data > Split File (see lesson 15, p. 64), and then make the plots. Add line of fit. See Warner p. 168- 172. After making the scatterplots, go to Data > Split File > RESET before continuing with the analysis.

 

Insert Graph or Table Here

 

 

 

Fill in the blanks:

 

Variables

Is the assumption of linearity met?

Journal & Counseling (Pre) Description: http://www.crctlessons.com/images/line-of-best-fit.jpg Journal & Counseling (Post)

 

 

Journal only (Pre) Description: http://www.crctlessons.com/images/line-of-best-fit.jpg Journal only (Post)

 

 

Counseling only (Pre) Description: http://www.crctlessons.com/images/line-of-best-fit.jpg Counseling only (Post)

 

 

 

 

 

Assumption of Bivariate Normal Distribution: Hint: Run a series of scatter plots between the pre-test variable and post-test variable for each group (Same as above). Look for the classic “cigar shape.”  See Warner p. 168- 172.

 

 

 

Insert Graph or Table Here

 

Fill in the blanks:

 

Variables

Is the assumption of Bivariate Normal Distribution met?

Journal & Counseling (Pre) Description: http://www.crctlessons.com/images/line-of-best-fit.jpg Journal & Counseling (Post)

 

 

Journal only (Pre) Description: http://www.crctlessons.com/images/line-of-best-fit.jpg Journal only (Post)

 

 

Counseling only (Pre) Description: http://www.crctlessons.com/images/line-of-best-fit.jpg Counseling only (Post)

 

 

 

 

 

Assumption of Homogeneity of Slopes: Hint: Remember to go to Univariate > Model > Custom and look for an interaction.

 

Insert Graph or Table Here

 

 

 

Fill in the blanks:

 

F-stat

Significance

Is the assumption of Homogeneity-of- Slopes met?

 

 

 

 

 

 

 

 

 

Assumption of Equal Variance: Insert Levene’s Test of Equality of Error Variancesa table(s) below: 

 

 

 

 

 

Insert Graph or Table Here

 

 

 

 

 

Fill in the blanks:

 

Significance

Is the assumption of equal variance met?

 

 

 

 

 

 

 

 

Results

 

Insert Tests of Between-Subjects Effects table(s) below:

 

 

 

 

 

 

 

Insert Graph or Table Here

 

 

 

 

 

 

 

Fill in the blanks:

 

 

Value

d.f. between Groups

 

 

d.f. within Groups

 

 

F-statistic

 

 

F-critical (See Appendix C in Warner)

 

 

p– value

 

 

Partial Eta Squared

 

 

 

 

 

 

 

 

 

Is the F– statistic greater than F-critical?

 

 

 

 

Is the p– value less than .05?

 

 

 

 

Should you reject or fail to reject the null?

 

 

 

 

What is the effect size small, medium, or large (See Table 5.2 in Warner, p. 208)?

 

 

 

 

Should you run post hoc analysis?

 

 

 

 

Descriptive Statistics

 

Groups (Pre-Test)

Mean

S.D.

Journal and Counseling

 

 

 

Journal only

 

 

 

Counseling only

 

 

 

 

 

 

Groups (Post-Test)

Mean

S.D.

Journal and Counseling

 

 

 

Journal only

 

 

 

Counseling only

 

 

 

 

 

 

Groups (Estimates)

Adjusted Mean

S.E.

Journal and Counseling

 

 

 

Journal only

 

 

 

Counseling only

 

 

 

 

 

 

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